data-as-a-science
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Module 2 - Lesson 10: Consolidate what you have learned, and explore machine learning
ETHICS
Synthesize the ethical lessons into a framework for professional behaviour.
Synthesis of lessons into a single data ethics set of “Hypocritic” principles.
CURATION
Consolidate curation methods into an integrated data and knowledge management process.
ANALYSIS
Challenge yourself with machine learning and an introduction to TensorFlow.
Machine learning with image data; intro to image classification with Tensor Flow; MNIST and reference to Kaggle Lung Cancer Challenge.
PRESENTATION
Assemble a data visualisation toolkit and reference framework.
CASE STUDY
Setting the final project using Randomised Control Trial data.